TP53 Co-Mutation Status Association with Clinical Outcomes in Patients with EGFR -Mutant Non-Small Cell Lung Cancer.
Xiuning LeCliff MolifeMark S LeuschMaria Teresa RizzoPatrick M PetersonNicola CariaYongmei ChenElena Gonzalez GugelCarla M Visseren-GrulPublished in: Cancers (2022)
TP53 co-mutations have shown association with poor prognosis in various solid tumors. For EGFR -mutated advanced non-small cell lung cancer (aNSCLC), conflicting results exist regarding its impact on survival. Clinical outcomes and genomic data were obtained retrospectively from the real-world (rw) de-identified clinicogenomic database. Patients who initiated therapy for EGFR -mutated aNSCLC between January 2014 and December 2020 were identified. Clinical outcomes were evaluated by TP53 -mutational status. In 356 eligible EGFR -mutated aNSCLC patients (median age 68 years), 210 (59.0%) had TP53 co-mutation and 146 (41.0%) had TP53 wild-type tumor. Unadjusted analysis showed significantly shorter survival in patients with TP53 co-mutation versus TP53 wild-type (rw progression-free survival [rwPFS]: HR = 1.4, 95% CI 1.1-1.9, p = 0.0196; overall survival [OS]: HR = 1.6, 95% CI 1.1-2.2, p = 0.0088). Multivariable analysis confirmed independent association between TP53 co-mutation and worse rwPFS (HR = 1.4, 95% CI 1.0-0.9, p = 0.0280) and OS (HR = 1.4, 95% CI 1.0-2.0, p = 0.0345). Directionally consistent findings were observed for response rates, and subgroups by EGFR -activating mutation and first-line (1 L) therapy, with more pronounced negative effect in 1 L EGFR -TKI subgroup. TP53 co-mutations negatively affected survival in patients with EGFR -mutated aNSCLC receiving standard 1 L therapy in real-world practice.
Keyphrases
- wild type
- epidermal growth factor receptor
- small cell lung cancer
- tyrosine kinase
- advanced non small cell lung cancer
- free survival
- poor prognosis
- randomized controlled trial
- healthcare
- primary care
- long non coding rna
- end stage renal disease
- ejection fraction
- emergency department
- gene expression
- signaling pathway
- artificial intelligence
- electronic health record
- newly diagnosed
- prognostic factors
- mesenchymal stem cells
- patient reported
- cell therapy
- adverse drug